P2-S1.04 Associations of symptoms of depression with multiple sexual risk behaviours in Nova Scotia adolescents
Notice bibliographique
Résumé
Background While depression is associated with sexual risk taking in adolescents, Canadian studies are few, many studies have not controlled for other risk factors, and none has examined associations of depression with having multiple sexual risks. We tested associations between multiple sexual risk taking and risk of depression while controlling for other salient factors in high school students in Cape Breton, Nova Scotia, Canada. Methods We surveyed sexually active male (n=418) and females (n=467) adolescents aged 15–19. Participants were asked about their risk of depression, perception of trust and helpfulness at school (social capital), sexual behaviours, substance use and sociodemographic factors. Logistic regressions were carried out to determine associations of depression with various levels of sexual risk-taking (none, one or two or more). Results In unadjusted models depression predicted having two or more vs no sexual risk behaviours among both males and females. After controlling for other variables risk of depression remained significantly associated with having two or more sexual risks vs no risks for both males and females [RR Ratios 2.5 (95% CI 1.4 to 4) and 3.5 (95% CI 1.6 to 7.82) respectively] and in relation to one vs no risks for females (RRR=1.9; 95% CI 1.1 to 3.5). Conclusions These consistent and independent associations of depression risk with multiple sexual risk-taking behaviours should lead healthcare workers interacting with adolescents to consider asking about sexual risk behaviours or testing for sexually transmitted infections among patients showing symptoms of depression. Alternatively, patients engaging in sexually risk taking might be screened for depression. Abstract P2-S1.04 Table 1 Adjusted multinomial regression of cumulative sexual risk-taking, depression risk and other correlates for males and females (RRs and 95% CI's) One sexual risk vs no sexual risks Two or more sexual risks vs no sexual risks Two or more sexual risks vs one sexual risk Females (n=418) Males (n=382) Females (n=418) Males (n=382) Females (n=418) Males (n=382) Alcohol binge ≥3 times in past month 1.7 (1.0 to 3.2)* 1.6 (0.9 to 3.2) 3.5 (2.0 to 6.4)‡ 5.3 (2.9 to 9.6)‡ 2.0 (1.2 to 3.5)*** 3.3 (1.9 to 5.8)*** Marijuana use ≥3 times past month 3.2 (1.5 to 7.0)† 1.2 (0.6 to 2.5) 3.6 (1.7 to 7.7)‡ 3.5 (1.9 to 6.7)‡ 1.1 (0.6 to 2.0) 2.9 (1.6 to 5.4)*** Not living with both parents 0.7 (0.4 to 1.2) 0.9 (0.5 to 1.7) 1.1 (0.6 to 1.8) 1.2 (0.7 to 2.2) 1.6 (0.9 to 2.7) 1.3 (0.7 to 2.4) Lower family wealth 0.26 (0.1 to 0.8)* 0.9 (0.3 to 2.9) 0.7 (0.3 to 1.6) 0.6 (0.2 to 1.8) 2.8 (0.8 to 9.0) 0.6 (0.2 to 1.6) First vaginal sex at age <15 1.8 (0.9 to 3.6) 1.3 (0.6 to 2.6) 5.1 (2.6 to 9.9)‡ 1.1 (0.6 to 2.2) 2.8 (1.5 to 5.2)*** 0.9 (0.5 to 1.6) Last partner>2 years older 1.0 (0.6 to 1.7) 0.7 (0.2 to 2.4) 0.8 (0.5 to 1.4) 1.6 (0.6 to 4.3) 0.8 (0.5 to 1.4) 2.3 (0.7 to 7.3) Average school grade <80% 1.2 (0.7 to 2.0) 2.0 (1.1 to 3.6)* 1.6 (0.9 to 2.8) 2.4 (1.3 to 4.4)† 1.4 (0.9 to 2.3) 1.2 (0.6 to 2.3) Low perceived trust 1.5 (0.9 to 2.7) 1.4 (0.7 to 2.9) 2.0 (1.1 to 3.7)* 1.2 (0.6 to 21) 1.3 (0.7 to 2.3) 0.78 (0.4 to 1.4) Low perceived helpfulness 1.1 (0.7 to 2.0) 1.0 (0.4 to 1.9) 1.5 (0.9 to 2.6) 1.5 (0.7 to 2.9) 1.3 (0.7 to 2.2) 1.6 (0.8 to 3.1) Depression risk positive screen 1.9 (1.1 to 3.5)* 2.0 (0.8 to 4.8) 2.5 (1.4 to 4.5)‡ 3.5 (1.6 to 7.82)‡ 1.3 (0.7 to 2.4) 1.6 (0.8 to 3.3)
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,057 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».